OLCI Ocean Color Reprocessing 2022.0

Instrument Calibration

The OLCI Sentinel-3A data are based on ESA's processing baseline collection 002 and OLCI Sentinel-3B on ESA's processing baseline collection 001.

Vicarious Calibration

The vicarious calibration for both the S3A and S3B OLCI sensors used the ocean reflectance model-based approach.

Product Formats

This is the first NASA processing of the OLCI sensors. The file formats and product suites will match those emplyed in the R2014.0 multi-mission reprocessing.

Results

The comparison of the S3A-OLCI time series for global deep water (>1000m) generated for the R2022 configuration to the corresponding Aqua-MODIS time series is shown below (left panels). The ratio of S3A-OLCI to Aqua-MODIS is also shown (right panels).

Deep water time series comparisons of S3A-OLCI to Aqua-MODIS for R2022
Figure 1: Global deepwater time series comparisons of S3A-OLCI to Aqua-MODIS

The comparison of the S3B-OLCI time series for global deep water (>1000m) generated for the R2022 configuration to the corresponding Aqua-MODIS time series is shown below (left panels). The ratio of S3B-OLCI to Aqua-MODIS is also shown (right panels).

Deep water time series comparisons of S3B-OLCI to Aqua-MODIS for R2022
Figure 2: Global deepwater time series comparisons of S3B-OLCI to Aqua-MODIS


The comparison of the S3B-OLCI time series for global deep water (>1000m) generated for the R2022 configuration to the corresponding S3A-OLCI time series is shown below (left panels). The ratio of S3B-OLCI to S3A-OLCI is also shown (right panels).

Deep water time series comparisons of S3B-OLCI to S3A-OLCI for R2022
Figure 3: Global deepwater time series comparisons of S3B-OLCI to S3A-OLCI

Comparison with In Situ Measurements

Validation of the remote sensing reflectance (Rrs) was performed relative to all available match-ups from SeaBASS and the Aerosol Robotic Network - Ocean Color (AERONET-OC). Statistical analysis, scatter plots and frequency distribution comparisons of the satellite to in situ match-ups are provided below.

OLCI-S3A

Product
Name
#Mean BiasMean Absolute Error (MAE)OLCI-S3A RangeIn situ Range
Rrs4128350.000350.00135-0.00351, 0.020580.00000, 0.02771
Rrs4438370.000580.00113-0.00207, 0.026670.00025, 0.03234
Rrs490837-0.000150.00087-0.00038, 0.032770.00085, 0.03952
Rrs665837-0.000140.00037-0.00087, 0.022140.00001, 0.02195



OLCI-S3B

Product
Name
#Mean BiasMean Absolute Error (MAE)OLCI-S3B RangeIn situ Range
Rrs41291-0.000390.00115-0.00420, 0.008990.00017, 0.00923
Rrs44391-0.000050.00087-0.00252, 0.011440.00082, 0.01129
Rrs49091-0.000540.000860.00038, 0.014390.00188, 0.01565
Rrs66591-0.000200.00034-0.00024, 0.006960.00014, 0.00609